Xetra Germany Stock Screener — DAX 40 Market Data API

Xetra Germany Stock Screener

Xetra Germany Stock Screener is a NexGenData tool on Apify that returns DAX 40 and MDAX stocks with market cap, P/E and dividend yield from Xetra market data.

Screen Xetra (Germany) stocks by market cap, valuation and fundamentals. Built for analysts, quant researchers, fintech builders and AI agents. Factual public data — not financial or investment advice.

📊 Sample Output

name	market_cap_eur	market_cap_billion_eur	market_cap_display	net_income_eur	ex_dividend_date
SAP SE	212580000000	212.58	212.58B	7800000000	May 6, 2026
Siemens Aktiengesellschaft	211050000000	211.05	211.05B	7950000000	Feb 13, 2026
Linde plc	190050000000	190.05	190.05B	6340000000	Sep 3, 2026
Allianz SE	156850000000	156.85	156.85B	11610000000	May 8, 2026
Airbus SE	153850000000	153.85	153.85B	5940000000	Apr 21, 2026
Deutsche Telekom AG	129020000000.00002	129.02	129.02B	8640000000	Apr 2, 2026

Real rows from run OmOLsVbKqb0LEwHGa on build 0.0.8 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
index	string (DAX40, MDAX, Xetra-all)	"DAX40"	Which German market scope to screen: DAX40 (DAX 40 blue-chip constituents only — Germany's premier index, e.g. SAP, Siemens SIE, Allianz ALV, Deutsche Telekom DTE, Mercedes-Benz M…
limit	integer	40	Maximum number of German stocks to return. Stocks are returned in descending market-cap order. Use 10 for a quick smoke test, 40 for the full DAX 40, 50 for full MDAX, 90+ for com…
min_market_cap_eur_billion	integer	0	Filter to stocks with market cap above this threshold, in BILLIONS of EUR. Examples: 10 = €10B (roughly large-cap, DAX 40 floor is around €10-15B), 50 = €50B (mega-cap like SAP, S…
sector	string	""	Optional case-insensitive substring filter applied to sector, industry, and company name. Examples: 'auto' (BMW, Mercedes-Benz, Volkswagen, Porsche, Daimler Truck, Continental), '…
enrich_fundamentals	boolean	true	If true, fetch each stock's Xetra detail page on stockanalysis.com to extract P/E ratio, EPS, dividend yield, shares outstanding, beta, RSI, 52-week range, sector and industry cla…
proxyConfiguration	object	{"useApifyProxy": true}	Apify proxy configuration. Defaults to Apify datacenter proxy for reliable access to stockanalysis.com. Use RESIDENTIAL group if you hit rate limits.

🧾 JSON sample record

One real record from run OmOLsVbKqb0LEwHGa (emails/phones masked, long text shortened):

{
  "symbol": "SAP",
  "name": "SAP SE",
  "market_cap_eur": 212580000000,
  "market_cap_billion_eur": 212.58,
  "market_cap_display": "212.58B",
  "previous_close_eur": 186.46,
  "open_eur": 184.52,
  "pe_ratio": 27.58,
  "forward_pe": 23.67,
  "eps_eur": 6.68,
  "net_income_eur": 7800000000,
  "shares_outstanding": 1150000000,
  "dividend_eur": 2.5,
  "dividend_yield_pct": 1.36,
  "ex_dividend_date": "May 6, 2026",
  "volume": 2325569,
  "week52_low_eur": 127.5,
  "week52_high_eur": 244.3,
  "day_low_eur": 182.26,
  "day_high_eur": 185.5,
  "beta": 0.78,
  "earnings_date": "Oct 21, 2026",
  "industry": "Software Application",
  "sector": "Technology",
  "price_eur": 186.46,
  "is_dax40": true,
  "is_mdax": false,
  "ticker_yahoo": "SAP.DE",
  "stockanalysis_url": "https://stockanalysis.com/quote/etr/SAP/",
  "yahoo_finance_url": "https://finance.yahoo.com/quote/SAP.DE",
  "scraped_at": "2026-09-25T00:06:01.007824Z",
  "exchange": "XETR",
  "exchange_name": "Xetra (Frankfurt)",
  "country": "Germany",
  "currency": "EUR"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.01	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Stock (apify-default-dataset-item)	$0.25	Single German stock snapshot (symbol, name, price, market cap EUR, P/E, P/B, dividend yield, sector, industry, 52-week range).

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.25 = $25.00 plus the start fee.

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35 more in this family on the NexGenData Store page.

📊 What you get

Clean JSON, one record per stock. Key fields (full output has 34 fields per stock):

• symbol — Exchange ticker symbol
• name — Company name
• price_eur — Latest traded price (local currency)
• market_cap_display — Market cap, human-readable (e.g. €12.4B)
• market_cap_eur — Market capitalization
• pe_ratio — Price-to-earnings ratio
• dividend_yield_pct — Dividend yield (%)
• volume — Trading volume
• sector — Sector classification
• industry — Industry classification
• week52_high_eur — 52-week / all-time high

All prices in EUR.

Local-market specifics: is_dax40 and is_mdax flag index membership across the DAX 40 and MDAX.

Pricing: $0.25 per stock (Pay-Per-Event) — about 4 stocks per $1. A $0.01 actor-start fee applies per run.

🤖 Use with AI agents

This actor returns structured JSON built for LLM and agent pipelines — no data-vendor contract, no scraping to maintain. Point Claude, a custom OpenAI Agents SDK tool, an n8n flow, or any MCP-aware client at it and get DAX 40 / MDAX fundamentals on demand. Ask for a filtered slice and the agent gets exactly the rows it needs.

Sample agent prompt:

List the DAX 40 stocks with market cap and sector.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

Refresh your screen weekly with a scheduled run:

{
  "limit": 50
}

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Data sourced from public market pages and filings. Factual public data — not financial or investment advice.